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    Visual Fall Detection for Intelligent Spaces

    TítuloVisual Fall Detection for Intelligent Spaces
    Tipo de publicaciónConference Paper
    Año de publicación2009
    AutoresCañas, JM, Marugan, S, Marron, M, Garcia, JC
    Idioma de publicaciónEnglish
    Conference NameWISP 2009. 6th IEEE International Symposium on Intelligent Signal Processing
    Páginas157 - 162
    Conference LocationBudapest
    Fecha de publicación09/2009
    Numero ISBN978-1-4244-5058-9
    Palabras claveArray of cameras, assistive technology, Intelligent spaces
    Resumen

    Artificial vision provides a remarkable good sensor when developing applications for intelligent spaces. Cameras are passive sensors that supply a great amount of information and are quite cheap. This paper presents an application for elderly care that detects falls or faints and automatically triggers the health alarm. It promotes the independent lifestyle of elder people at their homes as the monitoring application will call for timely health assistance when needed. The system extracts 3D information from several cameras and performs 3D tracking of the people in the intelligent space. It uses an evolutive multimodal algorithm to continuously estimate the 3D position in real time and learns the visual appearance of the persons. The system has been validated with some experiments in different real environments

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